| 05/30 | 8 |
TypeScript-native multi-agent orchestration that decomposes goals into parallel task DAGs and synthesizes results.
|
| 05/26 | 8 |
Protocol-constrained engine generating GEP prompts to guide auditable evolution of AI agents using reusable Genes and Capsules.
|
| 05/15 | 8 |
DeepSeek-native AI coding agent for your terminal, engineered around prefix-cache stability to keep token costs low across long sessions.
|
| 06/01 | 7 |
TypeScript/Node.js multi-agent orchestrator providing shared blackboard state, guardrails, budgets, and cross-framework adapters.
TypeScript
59☆
118d old
#javascript
#typescript
#ai-agents
#agent-framework
#agent-orchestration
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| 05/26 | 7 |
Unified, production-ready multi-agent framework with SDK, CLI, Studio server, desktop app, Meta-Agent orchestration, hierarchical memory, and multi-LLM provider support.
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| 05/17 | 7 |
Cache-aware infinite context with cross-session memory and background history compression for AI coding agents.
|
| 05/13 | 7 |
Native Go framework providing systematic prompt engineering, composable modules, and automated reasoning for building LLM applications.
|
| 05/12 | 7 |
End-to-end voice orchestration platform for building real-time conversational agents with streaming audio, STT/TTS, VAD, integrations, and observability.
|
| 05/08 | 7 |
Multi-agent operating system that runs autonomous AI teams to execute, coordinate, and self-improve software projects.
|
| 05/19 | 6 |
Desktop application to build, manage, and deploy customizable multi-agent AI workforces that automate complex workflows.
TypeScript
14111☆
300d old
#javascript
#typescript
#agentic-ai
#agentic-workflow
#agent-framework
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| 05/16 | 6 |
Harness that orchestrates multiple AI coding agents into engineering workflows with planning, testing, code review, and security audits.
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| 05/10 | 6 |
Local-first memory orchestration for AI systems with durable writes, multi-sink fanout, retrieval learning loops, and operator-grade controls.
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| 05/05 | 6 |
Self-hosted runtime for autonomous multi-agent AI with memory, skills, delegation, schedules, and multi-provider LLM support.
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| 05/21 | 5 |
Orchestration runtime for multi-agent AI systems, using YAML manifests to schedule, route, execute, and govern agents, tools, and policies.
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